DocumentCode :
1913221
Title :
Re-Using Workflow Fragments across Multiple Data Domains
Author :
Sethi, Ricky J. ; Hyunjoon Jo ; Gil, Yolanda
Author_Institution :
Inf. Sci. Inst., Univ. of Southern California, Marina del Rey, CA, USA
fYear :
2012
fDate :
10-16 Nov. 2012
Firstpage :
90
Lastpage :
99
Abstract :
In this paper, we demonstrate the ability to reuse workflow fragments in different data domains: from text analytics to image analysis to video activity recognition. We highlight how the re-use of workflows allows scientists to link across disciplines and avail themselves of the benefits of interdisciplinary research beyond their normal area of expertise. In addition, we present an in-depth study of a Social Media Analysis (SMA) task, wherein we show how the re-use of workflow fragments can extend a pre-existing, rudimentary analysis; we also examine how workflow fragments save time and effort in SMA while bringing together multiple areas of machine learning and computer vision.
Keywords :
image recognition; social networking (online); text analysis; video signal processing; SMA task; computer vision; data domain; image analysis; machine learning; rudimentary analysis; social media analysis; text analytics; video activity recognition; workflow fragment reuse;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High Performance Computing, Networking, Storage and Analysis (SCC), 2012 SC Companion:
Conference_Location :
Salt Lake City, UT
Print_ISBN :
978-1-4673-6218-4
Type :
conf
DOI :
10.1109/SC.Companion.2012.24
Filename :
6495806
Link To Document :
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